Mei Ri Jing Ji Xin Wen·2025-07-02 10:28Core Insights - The article emphasizes the necessity for internet infrastructure to adapt to the AI era, particularly in mixed office environments, highlighting the importance of technological transformation in the internet services industry [1] Group 1: AI Technology and Business Applications - AI is deeply penetrating various industries, helping to solve business problems with rapid technological evolution [1] - Companies previously concerned about the high costs of large models and AI applications have seen significant cost reductions due to breakthroughs by firms like DeepSeek [1] - Businesses are increasingly adopting hybrid models, using private large models for critical information while relying on public large models for non-critical data, alleviating financial pressures [1] Group 2: Future Directions in AI - Two key areas of focus for future AI technology include full-chain technological innovation from infrastructure to application scenarios, and the need for concurrent attention to security issues [1] Group 3: AI Usage Guidelines for Enterprises and Individuals - Enterprises should establish real-time, dynamic systems to monitor the types of large models in use, especially in cloud service environments [5] - Companies need to create internal policies to regulate employee interactions with large models, utilizing platforms like Cisco's "bridge IT" for access management [5] - Individuals should prioritize mainstream large models, cross-verify answers from different models, and provide feedback on inaccuracies to improve model performance [5] Group 4: Sustainability Challenges of AI - AI presents a dual challenge regarding sustainability, as it narrows the data gap but also significantly increases energy demands for computing and storage [6] - Solutions to mitigate energy consumption include optimal network and computing architecture, resource integration through multi-network fusion, low-power upgrades for core devices, and optimizing optical-electrical conversion technologies [6] - Implementing these strategies could reduce overall energy consumption by 20% to 30% [6] Group 5: Services Offered by Cisco in the AI and Web 3.0 Era - Cisco aims to provide tailored solutions based on the business characteristics of enterprises, particularly those utilizing cloud-native architectures and containerized deployment [7] Group 6: Security in Web 3.0 and AI - In the Web 3.0 era, a decentralized network architecture necessitates heightened security measures to ensure the reliability of business applications [8] - AI technology introduces new security requirements, including privacy protection and prevention of unauthorized access [10] - Cisco's testing revealed a high success rate of network attacks on mainstream large models, underscoring the need for robust security mechanisms [10]